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Loan_Eligibility_Prediction

The following repository is an indepth analysis of the dataset which contains information on whether an applicant is eligible for a loan or not. For an in depth analysis and understanding of the dataset please check this pdf file.

Moreover, this repository explores the following machine learning algorithms and evaluates how each model performs with respect to each other.

  • Logistic Regression
  • Decision Trees
  • K-Nearest Neighbor (KNN)
  • Random Forest Classification.

Overall, results and insights are all discussed in this detailed pdf file.

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The Following repository is an in-depth analysis of the Loan Eligibility dataset and as well as exploring multiple machine learning models to estimate which model performs best given such dataset.

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